annotate-guidance

annotate-guidance is a skill for Claude Code from juicesharp/rpiv-pi. It costs 51 tokens per session (5,050 once invoked), scanned A, original, MIT.

A workflow for creating `architecture.md` guidance files that explain how a project is organized and how its parts fit together. It analyzes the codebase and places guidance files in matching directories.

In plain words
What is it for?
Use it to document architecture across a brownfield project, improve onboarding, and provide directory-specific context for future coding work.
Why use it?
It gives developers and coding agents local instructions for navigating an unfamiliar project and following its existing patterns.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions CLAUDE.md; mentions subagents.

Good fit Use it to document architecture across a brownfield project, improve onboarding, and provide directory-specific context for future coding work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/juicesharp/rpiv-pi/annotate-guidance
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add juicesharp/rpiv-pi --skill annotate-guidance
Clone the repo
git clone --depth 1 https://github.com/juicesharp/rpiv-pi

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for annotate-guidance

README.md
[![agentmods](https://agentmods.dev/badge/skills/juicesharp/rpiv-pi/annotate-guidance/github.svg)](https://agentmods.dev/skills/juicesharp/rpiv-pi/annotate-guidance)
Your own site
<a href="https://agentmods.dev/skills/juicesharp/rpiv-pi/annotate-guidance"><img src="https://agentmods.dev/badge/skills/juicesharp/rpiv-pi/annotate-guidance/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for annotate-guidance

Your own site · 80×15
<a href="https://agentmods.dev/skills/juicesharp/rpiv-pi/annotate-guidance"><img src="https://agentmods.dev/badge/skills/juicesharp/rpiv-pi/annotate-guidance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,050 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00051 $0.05050
Opus 5 $0.00026 $0.02525
Sonnet 5 $0.00010 $0.01010
Haiku 4.5 $0.00005 $0.00505

Measured 11d ago against content hash ab273cbf4ca6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

annotate-guidance scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/annotate-guidance/SKILL.md · 304 lines

How it starts

The opening of the file, as written. The whole thing — 304 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Annotate Project

You are tasked with generating architecture guidance files for a brownfield project. You will map the project structure, auto-detect its architecture, analyze each architectural layer, and batch-write compact architecture.md files under .rpiv/guidance/ mirroring the project's directory structure.

Initial Setup:

Use the current working directory as the target project by default. If the user provides a specific directory path as an argument, use that instead.

Steps to follow:

  1. Read any directly mentioned files first:

    • If the user mentions specific files (existing architecture.md, CLAUDE.md, architecture docs, READMEs), read them FULLY first
    • IMPORTANT: Use the Read tool WITHOUT limit/offset parameters to read entire files
    • CRITICAL: Read these files yourself in the main context before invoking any skills
    • This ensures you have full context before decomposing the work
  2. Pass 1 — Map the project (parallel agents):

    • Spawn the following agents in parallel using the Agent tool:

    Agent A — Project tree mapping:

    • subagent_type: codebase-locator
    • Prompt: "Map the full project tree structure for [target directory]. List all directories and their contents, respecting .gitignore. Focus on source code directories, configuration files, and build artifacts. Return a complete tree view."

    Agent B — Architecture and conventions:

    • subagent_type: codebase-locator
    • Prompt: "Identify the architectural layers, folder roles, and framework conventions in [target directory]. Determine: What architecture pattern is used (clean architecture, MVC, monorepo, microservices, hexagonal, etc.)? What are the main layers/modules? What frameworks and languages are present? What build system is used? For each main layer/module, check if it contains internal sub-layers with distinct architectural roles. If it does, explicitly flag each sub-layer as a guidance target candidate with: (a) path, (b) role/responsibility, (c) approximate file count, (d) how its patterns differ from siblings. Frontend frameworks (Angular, React, Vue, etc.) almost always have distinct sub-layers — components, services, shared/base classes, state management — report each separately."

Read the full file on GitHub · 304 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 304 lines · 51 tokens per session scan A ab273cbf4ca6

Subscribe to this mod's changes

annotate-guidance is a skill published in the GitHub repository juicesharp/rpiv-pi (11 stars, last pushed 4mo ago), licensed MIT. It adds 51 tokens to every session and 5,050 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens